Single-Cell RNA Sequencing Technologies
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-3993-7_25
Reference149 articles.
1. Goldman SL, MacKay M, Afshinnekoo E, Melnick AM, Wu S, Mason CE. The impact of heterogeneity on single-cell sequencing. Front Genet [Internet]. 2019 [cited 2020 Oct 6];10. https://www.frontiersin.org/articles/10.3389/fgene.2019.00008/full.
2. Grimbergen AJ, Siebring J, Solopova A, Kuipers OP. Microbial bet-hedging: the power of being different. Curr Opin Microbiol. 2015;25:67–72.
3. Li S, Garrett-Bakelman F, Perl AE, Luger SM, Zhang C, To BL, et al. Dynamic evolution of clonal epialleles revealed by methclone. Genome Biol. 2014;15(9):472.
4. Li S, Garrett-Bakelman FE, Chung SS, Sanders MA, Hricik T, Rapaport F, et al. Distinct evolution and dynamics of epigenetic and genetic heterogeneity in acute myeloid leukemia. Nat Med. 2016;22(7):792–9.
5. Mason CE, Porter SG, Smith TM. Characterizing multi-omic data in systems biology. Adv Exp Med Biol. 2014;799:15–38.
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